2026-06-152026-06-152026-03-05ARAÚJO, Laís Fonseca de. Análise comparativa da elaboração de cronogramas de obras pelo método tradicional e por inteligência artificial. Orientador: Luiz Maurício Furtado Maués. 2026. 29 f. Trabalho de Curso (Bacharelado em Engenharia Civil) – Faculdade de Engenharia Civil, Instituto de Tecnologia, Universidade Federal do Pará, Belém, 2026. Disponível em: https://bdm.ufpa.br/handle/prefix/9614. Acesso em:.https://bdm.ufpa.br/handle/prefix/9614Construction planning is a fundamental stage for organizing construction activities and defining project schedules in the civil engineering sector. Traditionally, schedule development is carried out using specialized software such as Microsoft Project, requiring technical knowledge from the user and manual definition of task precedence relationships. With the advancement of digital technologies, Artificial Intelligence–based tools have emerged as alternatives to support and automate the planning process. This study aims to compare the process of construction schedule development using the traditional method and an Artificial Intelligence–assisted approach. A case study was conducted on a small-scale building project using the same input data, including project scope, work breakdown structure, available teams, and estimated duration. Two schedules were developed and represented through Gantt charts, allowing analysis of activity organization, task parallelism, and total project duration. The results indicated that the Artificial Intelligence–based model provided greater simplicity in the planning process and improved activity organization, resulting in a reduction of the overall project duration when compared to the traditional method.Acesso AbertoPlanejamento de obrasInteligência artificialCronograma físicoGráfico de ganttMicrosoft projectConstruction planningArtificial intelligenceProject schedulingGantt chartMicrosoft projectCNPQ::ENGENHARIAS::ENGENHARIA CIVILTrabalho de Curso - Graduação - Monografia